Mailchimp Connector for Informatica
In this article you will learn how to integrate Using Mailchimp Connector you will be able to connect, read, and write data from within Informatica. Follow the steps below to see how we would accomplish that. The driver mentioned above is part of ODBC PowerPack which is a collection of high-performance Drivers for various API data source (i.e. REST API, JSON, XML, CSV, Amazon S3 and many more). Using familiar SQL query language you can make live connections and read/write data from API sources or JSON / XML / CSV Files inside SQL Server (T-SQL) or your favorite Reporting (i.e. Power BI, Tableau, Qlik, SSRS, MicroStrategy, Excel, MS Access), ETL Tools (i.e. Informatica, Talend, Pentaho, SSIS). You can also call our drivers from programming languages such as JAVA, C#, Python, PowerShell etc. If you are new to ODBC and ZappySys ODBC PowerPack then check the following links to get started. |
Connect to Mailchimp in other apps
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How to read API data in Informatica (Call JSON / XML SOAP Service)
How to write data to API (POST) in Informatica (Call JSON / XML SOAP Service)
Introduction
JSON / REST API is becoming more and more popular each day as everyone embrace cloud-centric services. This article is primarily focused on Informatica users who want to access Mailchimp data or may be other API Integration in Informatica. However many tips and techniques described in this article will help you to understand how to integrate Mailchimp / XML SOAP / JSON / REST API in other ETL / Reporting apps such as Tableau, Power BI, SSRS, Talend, Excel and many more.
After going through this article you will learn how to Read Mailchimp / JSON / REST API data in Informatica and understand the concept of JSON / REST API. We will go through many screenshots and step-by-step examples to demonstrate Mailchimp or REST API integration in Informatica PowerCenter.
XML / JSON can come from a local file or REST API service (internal or public) so we will include both examples in this article (i.e. Read JSON files in Informatica, Import REST API in Informatica). So let’s get started. Next article will focus on how to write data to API in Informatica (POST / PUT data)
Requirements
This article assumes that you have full filled following basic requirements.
- Download Install ZappySys ODBC PowerPack (API Driver for Mailchimp included)
- Install Informatica PowerCenter Client Tools (e.g. Workflow and Mapping Designers)
- Access to a Relational database such as SQL Server (or use any of your choice e.g. Oracle, MySQL, DB2 ). If nothing available then you can use flat file target.
High level Steps for Import Mailchimp data using Informatica (Read Mailchimp API data)
Before we dive deep to learn how to load Mailchimp data in Informatica (i.e. Mailchimp to SQL Table), Here the summary of high-level steps you need to perform to import Mailchimp in Informatica (same steps for Import JSON / XML / REST API).
- Download and Install ZappySys API Driver (for connecting to Mailchimp)
- Create ODBC DSN using ZappySys API driver and choose Mailchimp Connector during Wizard
- Create Relational > ODBC Connection in Informatica Workflow designer (Point to DSN we created in the previous step)
- Import Mailchimp Source Definition in the Informatica Mapping Designer > Sources Tab
- Import Target Table Definition in the Informatica Mapping Designer > Targets Tab
- Create source to target mapping in Mappings tab
- Save mapping (name m_API_to_SQL_Load )
- Create Session using the mapping we created in the previous step
- Save Workflow and execute to load Mailchimp data into SQL Table. Verify your data and log.
Video Tutorial – Read any API / JSON data in Informatica (Load Mailchimp to SQL Table)
Below video is not about Mailchimp API but its showing API access in general (for any API). By watching following ~5 min video can learn steps listed in this article to load JSON API data into SQL Server Table using ZappySys JSON Driver. You can go though full article to learn many useful details not covered in this video.
Getting Started – Import Mailchimp to SQL Server in Informatica
Now let’s get started. For example purpose, we will read data from Mailchimp and load data into SQL Server Table using Informatica Workflow.
Create ODBC Data Source (DSN) based on ZappySys API Driver
Step-by-step instructions
To get data from Mailchimp using Informatica we first need to create a DSN (Data Source) which will access data from Mailchimp. We will later be able to read data using Informatica. Perform these steps:
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Install ZappySys ODBC PowerPack.
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Open ODBC Data Sources (x64):
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Create a User Data Source (User DSN) based on ZappySys API Driver
ZappySys API DriverYou should create a System DSN (instead of a User DSN) if the client application is launched under a Windows System Account, e.g. as a Windows Service. If the client application is 32-bit (x86) running with a System DSN, use ODBC Data Sources (32-bit) instead of the 64-bit version. -
When the Configuration window appears give your data source a name if you haven't done that already, then select "Mailchimp" from the list of Popular Connectors. If "Mailchimp" is not present in the list, then click "Search Online" and download it. Then set the path to the location where you downloaded it. Finally, click Continue >> to proceed with configuring the DSN:
MailchimpDSNMailchimp -
Now it's time to configure the Connection Manager. Select Authentication Type, e.g. Token Authentication. Then select API Base URL (in most cases, the default one is the right one). More info is available in the Authentication section.
Steps to get Mailchimp Credentials
To get the credentials you need in order to set up your OAuth workflow, you'll first need to register your application with Mailchimp:- Navigate to the Registered Apps page in your Mailchimp account.
- Click Register An App.
- Fill out the Register An App form.
- Click Create.
- After successfully registering your application, you'll see the client_id and client_secret at the bottom of the page - record these values and store them securely.
- Record your Mailchimp data center, since we will need it later. The data center will be located in your browser's address bar URL. If the URL is "https://us21.admin.mailchimp.com/account/api/", then your data center is "us21".
- Back at the connector screen, enter the data center that was recorded in step 6 into the Data Center field.
- Enter the client_id value that was recorded in step 5 into the Client Id field.
- Enter the client_secret value that was recorded in step 5 into the Client Secret field.
- Click Generate Token. If proper authentication occurs, you will see a notice saying so. If you get any errors, click Yes on the dialog box and then a large browser window will launch - log into your Mailchimp account here and approve the use of the application.
- Select the Test Connection button at the bottom of the window to verify proper connectivity with your Mailchimp account.
- If the connection test succeeds, select OK.
Fill in all required parameters and set optional parameters if needed:
MailchimpDSNMailchimpOAuth [OAuth]https://[$DataCenter$].api.mailchimp.comRequired Parameters Data Center Fill in the parameter... Client Id Fill in the parameter... Client Secret Fill in the parameter... Default List Id Fill in the parameter... Optional Parameters RetryMode Fill in the parameter... RetryStatusCodeList Fill in the parameter... RetryCountMax Fill in the parameter... RetryMultiplyWaitTime Fill in the parameter... Steps to get Mailchimp Credentials
The simplest way to authenticate a request to the Mailchimp Marketing API is by using an API key (If you require access to Mailchimp on behalf of other Mailchimp users, you'll want to set up OAuth authentication instead)::- Log into your Mailchimp account.
- Navigate to the API Keys section of your Mailchimp account: https://admin.mailchimp.com/account/api/
- In the Your API keys section of the page, click Create New Key.
- Give your new key a descriptive name that will remind you which application it's used for.
- Copy the generated key immediately and store it in a secure location. (You won’t be able to see or copy the key once you finish generating it.)
- Record your Mailchimp data center, since we will need it later. The data center will be located in your browser's address bar URL. If the URL is "https://us21.admin.mailchimp.com/account/api/", then your data center is "us21".
- Back at the connector screen, enter the data center that was recorded in step 6 into the Data Center field.
- Enter the API key that was recorded in step 5 into the Api Key field.
- Select the Test Connection button at the bottom of the window to verify proper connectivity with your Mailchimp account.
- If the connection test succeeds, select OK.
Fill in all required parameters and set optional parameters if needed:
MailchimpDSNMailchimpApiKey Auth [Http]https://[$DataCenter$].api.mailchimp.comRequired Parameters Api Key Fill in the parameter... Default List Id Fill in the parameter... Optional Parameters Data Center Fill in the parameter... RetryMode Fill in the parameter... RetryStatusCodeList Fill in the parameter... RetryCountMax Fill in the parameter... RetryMultiplyWaitTime Fill in the parameter... -
Once the data source has been configured, you can preview data. Select the Preview tab and use settings similar to the following to preview data:
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Click OK to finish creating the data source.
Video instructions
Create Connection in Informatica Workflow Designer
Once you create DSN using API Driver our next step is to define a connection for Mailchimp source in Informatica PowerCenter Workflow designer.
- Open Workflow designer [W] icon
- Goto Connections > Relational
- Click New and select ODBC
- Now on the ODBC connection setup enter connection name, some fake userid / password (this is a required field but its ignored by JSON Driver)
- In the Connection String field enter the exact same name of DSN (Open ODBC Data Sources UI to confirm)
- Click OK to close the connection properties.
That’s it. Now we ready to move to next step (define source and target in Mapping Designer).
Import Mailchimp Source Definition in Informatica Mapping Designer
Now let’s look at steps to import Mailchimp table definition.
- Open Informatica Mapping Designer (Click [D] icon)
- Click on Source Icon to switch to Sources designer
- From the top menu > Click on Sources > Import from Database …
- Select ODBC data source from the dropdown (Find out DSN we created earlier to use as JSON Source)
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Click Connect button to get a list of tables. Any array node is listed as a table. Also, you will see array node with parent columns (e.g. value_with_parent). You may get some warning like below but they are harmless so just ignore by clicking OK.
DLL name entry missing from C:\Informatica\PowerCenter8.6.1\client\bin\powrmart.ini Section = ODBCDLL Entry = ZappySys JSON Driver
—————————————————-
Using EXTODBC.DLL to support ZappySys JSON Driver. For native support of ZappySys JSON Driver make an entry in the .ini file. - Select Table you wish to get (You can filter rows by custom SQL query. We will see later in this article how to do)
- Optionally once table structure is imported you can rename it
- That’s it, we are now ready to perform similar steps to import Target table structure in the next section.
Import SQL Server Target Definition in Informatica Mapping Designer
Now let’s look at steps to import Target table definition (very similar to the previous section, the only difference is this time we will select DSN which points to SQL Server or any other Target Server).
Now lets look at steps to import target table definition in Informatica mapping designer.
- In the Mapping Designer, Click on Target Icon to switch to Target designer
- From the top menu > Click on Targets > Import from Database …
- Select DSN for your Target server (if DSN doesn’t exist then create one by opening ODBC Sources just like we created one for JSON API source (see the previous section about creating DSN).
- Enter your userid , password and Schema name and click Connect to see tables
- Select Table name to and click OK import definition.
Create Source to Target Mapping in Informatica (Import JSON to SQL Server)
Once you have imported source and target table definition, we can create mapping and transformation to load data from JSON to SQL Table.
- First open Mapping Designer (Click [D] icon)
- Drag JSON Source from sources folder
- Drag SQL Table from Targets folder
- Map desired columns from Source to target
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For certain columns you may have to do datatype conversion. For example to convert OrderDate form nstring to DataTime you have to use Expression Transform like below and map it to target. In below example, our JSON has date format (e.g. 2018-01-31 12:00:00 AM ). To import this to DateTime field in SQL server we need to convert it using TO_DATE function. Use double quotes around T to make this format working.
TO_DATE(OrderDate,'YYYY-MM-DD H12:MI:SS AM') --For ISO use below way TO_DATE(OrderDate,'YYYY-MM-DD"T"HH24:MI:SS')
- Once you done with mapping save your mapping and name it (i.e. m_Api_To_SQL)
- Now lets move to next section to create workflow.
Create Workflow and Session in Informatica
Now the final step is to create a new workflow. Perform following steps to create workflow which with a session task to import JSON data into SQL table.
- Open workflow designer by click [W] icon.
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Launch new workflow creation wizard by click Workflow top menu > Wizard
name your workflow (e.g. wf_Api_Tp_Sql_Table_Import) - Finish the wizard and double-click the Session to edit some default properties.
- First change Error settings so we fail session on error (By default its always green)
- Select JSON connection for Source
- Change default Source query if needed. You can pass parameters to this query to make it dynamic.
- Select Target connection of SQL Target Table
- Save workflow
- That’s it. We ready to run our first workflow to load JSON data to SQL.
Execute Workflow and Validate Log in Informatica
Now once you are done with your workflow, execute it to see the log.
POST data to Mailchimp in Informatica
There will be a time when you like to send Source data to REST API or SOAP Web Service. You can use below Query for example. For detailed explanation on how to POST data in Informatica check this article.
Video Tutorial – How to POST data to REST API in Informatica
Here is detailed step by step video on REST API POST in informatica PowerCenter
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Advanced topics
Create Custom Stored Procedure in ZappySys Driver
You can create procedures to encapsulate custom logic and then only pass handful parameters rather than long SQL to execute your API call.
Steps to create Custom Stored Procedure in ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here
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Go to Custom Objects Tab and Click on Add button and Select Add Procedure:
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Enter the desired Procedure name and click on OK:
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Select the created Stored Procedure and write the your desired stored procedure and Save it and it will create the custom stored procedure in the ZappySys Driver:
Here is an example stored procedure for ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here
CREATE PROCEDURE [usp_get_orders] @fromdate = '<<yyyy-MM-dd,FUN_TODAY>>' AS SELECT * FROM Orders where OrderDate >= '<@fromdate>';
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That's it now go to Preview Tab and Execute your Stored Procedure using Exec Command. In this example it will extract the orders from the date 1996-01-01:
Exec usp_get_orders '1996-01-01';
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Let's generate the SQL Server Query Code to make the API call using stored procedure. Go to Code Generator Tab, select language as SQL Server and click on Generate button the generate the code.
As we already created the linked server for this Data Source, in that you just need to copy the Select Query and need to use the linked server name which we have apply on the place of [MY_API_SERVICE] placeholder.
SELECT * FROM OPENQUERY([MY_API_SERVICE], 'EXEC usp_get_orders @fromdate=''1996-07-30''')
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Now go to SQL served and execute that query and it will make the API call using stored procedure and provide you the response.
Create Custom Virtual Table in ZappySys Driver
ZappySys API Drivers support flexible Query language so you can override Default Properties you configured on Data Source such as URL, Body. This way you don't have to create multiple Data Sources if you like to read data from multiple EndPoints. However not every application support supplying custom SQL to driver so you can only select Table from list returned from driver.
If you're dealing with Microsoft Access and need to import data from an SQL query, it's important to note that Access doesn't allow direct import of SQL queries. Instead, you can create custom objects (Virtual Tables) to handle the import process.
Many applications like MS Access, Informatica Designer wont give you option to specify custom SQL when you import Objects. In such case Virtual Table is very useful. You can create many Virtual Tables on the same Data Source (e.g. If you have 50 URLs with slight variations you can create virtual tables with just URL as Parameter setting.
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Go to Custom Objects Tab and Click on Add button and Select Add Table:
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Enter the desired Table name and click on OK:
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And it will open the New Query Window Click on Cancel to close that window and go to Custom Objects Tab.
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Select the created table, Select Text Type AS SQL and write the your desired SQL Query and Save it and it will create the custom table in the ZappySys Driver:
Here is an example SQL query for ZappySys Driver. You can insert Placeholders also. Read more about placeholders here
SELECT "ShipCountry", "OrderID", "CustomerID", "EmployeeID", "OrderDate", "RequiredDate", "ShippedDate", "ShipVia", "Freight", "ShipName", "ShipAddress", "ShipCity", "ShipRegion", "ShipPostalCode" FROM "Orders" Where "ShipCountry"='USA'
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That's it now go to Preview Tab and Execute your custom virtual table query. In this example it will extract the orders for the USA Shipping Country only:
SELECT * FROM "vt__usa_orders_only"
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Let's generate the SQL Server Query Code to make the API call using stored procedure. Go to Code Generator Tab, select language as SQL Server and click on Generate button the generate the code.
As we already created the linked server for this Data Source, in that you just need to copy the Select Query and need to use the linked server name which we have apply on the place of [MY_API_SERVICE] placeholder.
SELECT * FROM OPENQUERY([MY_API_SERVICE], 'EXEC [usp_get_orders] ''1996-01-01''')
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Now go to SQL served and execute that query and it will make the API call using stored procedure and provide you the response.
Actions supported by Mailchimp Connector
Mailchimp Connector support following actions for REST API integration. If some actions are not listed below then you can easily edit Connector file and enhance out of the box functionality.Parameter | Description | ||||||||||||||||||||||||||
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Campaign type |
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Status of the campaign |
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Campaign sent before (Format: 2015-10-21T15:41:36) |
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Campaign sent after (Format: 2015-10-21T15:41:36) |
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Campaign created before (Format: 2015-10-21T15:41:36) |
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Campaign created after (Format: 2015-10-21T15:41:36) |
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Using list Id |
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Using folder Id |
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To customer |
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Parameter | Description |
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Campaign Id |
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Parameter | Description | ||||||||||||||||||||||||||
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Created before (Format: 2015-10-21T15:41:36) |
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Created after (Format: 2015-10-21T15:41:36) |
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Created before last campaign send date (Format: 2015-10-21T15:41:36) |
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Created after last campaign send date (Format: 2015-10-21T15:41:36) |
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Includes email address |
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Contains active ecommerce store |
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Parameter | Description |
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List Id |
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Parameter | Description |
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List Id |
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Parameter | Description |
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List Id |
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Parameter | Description | ||||||
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List Id |
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Skip Merge Validation |
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Parameter | Description | ||||||
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List Id |
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Skip Merge Validation |
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Skip Duplicate Check |
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Update Exising Subscription Status? |
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Sync Tags |
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Parameter | Description | ||||||
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List Id |
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Skip Merge Validation |
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Parameter | Description | ||||||||||||||||||||||||||
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List Id |
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Email Type |
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Status |
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Since Timestamp Opt (Format: 2015-10-21T15:41:36) |
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Before Timestamp Opt (Format: 2015-10-21T15:41:36) |
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Since Last Changed (Format: 2015-10-21T15:41:36) |
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Before Last Changed (Format: 2015-10-21T15:41:36) |
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Unique Email Id |
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VIP Only |
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Interest Category Id |
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Interest Ids |
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Interest Match |
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Since Last Campaign |
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Unsubscribed Since (Format: 2015-10-21T15:41:36) |
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Parameter | Description | ||||||||||||||||||||||||||
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Email Type |
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Status |
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Since Timestamp Opt (Format: 2015-10-21T15:41:36) |
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Before Timestamp Opt (Format: 2015-10-21T15:41:36) |
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Since Last Changed (Format: 2015-10-21T15:41:36) |
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Before Last Changed (Format: 2015-10-21T15:41:36) |
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Unique Email Id |
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VIP Only |
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Interest Category Id |
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Interest Ids |
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Interest Match |
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Since Last Campaign |
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Unsubscribed Since (Format: 2015-10-21T15:41:36) |
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Parameter | Description |
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Member Id |
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Parameter | Description |
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List Id |
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Member Id |
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Parameter | Description |
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List Id |
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Member Id |
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Parameter | Description |
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List Id |
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Member Id |
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Parameter | Description | ||||||
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List Id |
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Member Id |
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Skip Merge Validation |
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Parameter | Description |
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Url |
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Body |
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IsMultiPart |
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Filter |
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Headers |
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Mailchimp Connector Examples for Informatica Connection
This page offers a collection of SQL examples designed for seamless integration with the ZappySys API ODBC Driver under ODBC Data Source (36/64) or ZappySys Data Gateway, enhancing your ability to connect and interact with Prebuilt Connectors effectively.
Get a list of campaigns in your Mailchimp account. [Read more...]
SELECT * FROM Campaigns
Get specific columns in list of campaigns in your Mailchimp account. [Read more...]
SELECT Id, WebId, Type, CreateTime, ArchiveUrl, LongArchiveUrl, Status, EmailsSent, SendTime, ContentType, NeedsBlockRefresh, Resendable, RecipientsListId, RecipientsListIsActive, RecipientsListName, RecipientsSegmentText, RecipientsRecipientCount, SettingsSubjectLine, SettingsTitle, SettingsFromName, SettingsReplyTo, SettingsUseConversation, SettingsToName, SettingsFolderId, SettingsAuthenticate, SettingsAutoFooter, SettingsInlineCss, SettingsAutoTweet, SettingsFbComments, SettingsTimeWarp, SettingsTemplateId, SettingsDragAndDrop, TrackingOpens, TrackingHtmlClicks, TrackingTextClicks, TrackingGoalTracking, TrackingEcomm360, TrackingGoogleAnalytics, TrackingClicktale, DeliveryStatusEnabled
FROM Campaigns
Get details about a specific campaign in your Mailchimp account. [Read more...]
SELECT * FROM Campaigns
WHERE Id='328e99cbc4'
Get list of lists/audiences in your Mailchimp account. [Read more...]
SELECT * FROM Lists
Get specific columns in list of lists/audiences in your Mailchimp account. [Read more...]
SELECT Id, WebId, Name, Company, Address1, Address2, City, State, Zip, Country, Phone, PermissionReminder, UseArchiveBar, CampaignDefaultFromName, CampaignDefaultFromEmail, CampaignDefaultSubject, CampaignDefaultLanguage, NotifyOnSubscribe, NotifyOnUnsubscribe, DateCreated, ListRating, EmailTypeOption, SubscribeUrlShort, SubscribeUrlLong, BeamerAddress, Visibility, DoubleOptin, HasWelcome, MarketingPermissions, Modules, MemberCount, UnsubscribeCount, CleanedCount, MemberCountSinceSend, UnsubscribeCountSinceSend, CleanedCountSinceSend, CampaignCount, CampaignLastSent, MergeFieldCount, AvgSubRate, AvgUnsubRate, TargetSubRate, OpenRate, ClickRate, LastSubDate, LastUnsubDate
FROM Lists
Get details of a list/audience in your Mailchimp account. [Read more...]
SELECT * FROM Lists
WHERE Id='e246f7e24d'
Delete a list from Mailchimp account. [Read more...]
DELETE FROM Lists
WHERE Id='e246f7e24d'
Get list of members within a specific list/audience in your Mailchimp account [Read more...]
SELECT * FROM get_list_members
WITH (ListId='e246f7e24d')
Get the current user's account information, such as full name, user name, email address, role, etc. [Read more...]
SELECT * FROM get_user_details
Get specific columns of the current user's account information, such as full name, user name, email address, role, etc. [Read more...]
SELECT AccountId, LoginId, AccountName, Email, FirstName, LastName, UserName, AvatarUrl, Role, MemberSince, PricingPlanType, FirstPayment, AccountTimeZone, AccountIndustry, ContactCompany, ContactAddress1, ContactAddress2, ContactCity, ContactState, ContactZip, ContactCountry, ProEnabled, LastLogin, TotalSubscribers
FROM get_user_details
Create a new list/audience in your Mailchimp account [Read more...]
INSERT INTO Lists
(Name, Company, Address1, Address2, City, State, Zip, Country, Phone, PermissionReminder, UseArchiveBar, CampaignDefaultFromName, CampaignDefaultFromEmail, CampaignDefaultSubject, CampaignDefaultLanguage, NotifyOnSubscribe, NotifyOnUnsubscribe, EmailTypeOption, DoubleOptIn, MarketingPermissions)
VALUES
('The Awesome List', 'My Company Name', '123 Morgan Falls Lane', 'Suite 250','Albany', 'GA', '30114', 'US', '(770) 555-1234', 'Thank you for signing up for these notification emails!', 'false', 'Sales Team', 'salesteam@mycompany.com', 'The best deals are here!', 'en', 'salesteam@mycompany.com', 'salesteam@mycompany.com', 'true', 'false', 'true')
Update details of a list/audience in your Mailchimp account (Update Mail Footer Address for SPAM compliance) [Read more...]
UPDATE Lists SET Address1='123 Main Street', Address2 = 'Suite 52', City = 'Chicago'
WHERE Id='e246f7e24d'
Get a list member by Id from a Mailchimp List [Read more...]
SELECT * FROM ListMembers
WHERE Id='170a0722daae03855d6434eb3a5959fb'
WITH (ListId='e246f7e24d')
Get a list member by Email from a Mailchimp List [Read more...]
SELECT * FROM ListMembers
WITH (ListId='e246f7e24d', Id='test@abc.com')
Delete a list member (archive) from a Mailchimp List. [Read more...]
Delete List Member by Id and archive it. To delete permanently use delete_list_member_permanent endpoint. Archived / bounced record cannot be resubscribed. To resubscribe you must call delete_list_member_permanent
DELETE FROM ListMembers
WHERE Id='170a0722daae03855d6434eb3a5959fb'
WITH (ListId='e246f7e24d')
Delete list members (archive) from a Mailchimp List which are created after specific date (i.e. after Opt In time). [Read more...]
Delete list member operation archives the record. To delete permanently use delete_list_member_permanent endpoint. Archived / bounced record cannot be resubscribed. To resubscribe you must call delete_list_member_permanent.
DELETTE from ListMembers
WHERE TimestampOpt > '2023-06-16'
WITH (ListId='a4d24015f8')
Delete list members permanently from a Mailchimp List which are created after specific date (i.e. after Opt In time). [Read more...]
Delete list member operation archives the record.
select * from delete_list_member_permanent
WITH (ListId='a4d24015f8' , Id='170a0722daae03855d6434eb3a5959fb' )
Get list of all members within all lists/audiences in your Mailchimp account [Read more...]
SELECT * FROM ListMembers --scan all lists and then fetch members for each list
Get details on a specific member within all lists/audiences in your Mailchimp account [Read more...]
SELECT * FROM ListMembers
WHERE Id='170a0722daae03855d6434eb3a5959fb'
Get specific columns in list of members within a specific list/audience in your Mailchimp account [Read more...]
SELECT Id, ListId, EmailAddress, UniqueEmailId, ContactId, FullName, WebId, EmailType, Status, ConsentsToOneToOneMessaging, FirstName, LastName, AddressLine1, AddressLine2, City, State, Zip, Country, Phone, Birthday, StatsAvgOpenRate, StatsAvgClickRate, IpSignup, TimestampSignup, IpOpt, TimestampOpt, MemberRating, LastChanged, Language, Vip, EmailClient, Latitude, Longitude, LocationGmtOff, LocationDstOff, CountryCode, TimeZone, Region, Source, TagsCount, Tags
FROM ListMembers
WITH (ListId='e246f7e24d')
Create a new member in the specified list/audience in your Mailchimp account [Read more...]
INSERT INTO ListMembers
(EmailAddress, Status, EmailType, MergeFields, Language, Vip, Latitude, Longitude, IpSignup, TimestampSignup, IpOpt, TimestampOpt, Tags)
VALUES
('np-brucewayne1@zappysys.com', 'subscribed', 'html',
'{"FNAME":"John","LNAME":"Doe","ADDRESS":{"addr1":"123","Freddie":"Ave","city":"Atlanta","state":"GA","zip":"12345"}}',
'en', false, '41.881832', '-87.623177', '192.168.0.8', '2023-04-01 18:00:00', '192.168.0.8', '2023-04-02 14:00:00',
'["Newtag1","Newtag2","Newtag3"]')
WITH (ListId='a4d24015f8')
Update an existing member in the specified list/audience in your Mailchimp account [Read more...]
UPDATE ListMembers
SET EmailAddress='brucewayne10@mycompany.com'
, Status='subscribed' --subscribed, unsubscribed, cleaned, pending
, EmailType='text' --html, text
, Vip='false' --true
, FirstName='Bruce'
, LastName='Wayne'
/*,MergeFields= '{
"FNAME": "Bruce1",
"LNAME": "Wayne1",
"PHONE": "678-111-1234"
}',
*/
, Language='en' --fr
, TimestampOpt='2023-04-02 11:37:49'
, Latitude='38.8951' , Longitude='-77.0364' --Washington DC
, Tags='["tag1","tag2"]'
WHERE Id='e9f73ced3b649f0ca829103bcacb2846'
WITH (ListId='a4d24015f8',SkipMergeValidation='false')
Bulk Add / Update MailChimp Subscibers (members) from Microsoft SQL Server Table - Subscribe / Unsubscribe [Read more...]
UPSERT INTO ListMembers
SOURCE('MSSQL', 'Data Source=localhost;Initial Catalog=tempdb;Integrated Security=true'
,'select ''brucewayne10@gmail.com'' EmailAddress,''first1'' as FirstName, ''subscribed'' Status
UNION ALL
select ''test55@gmail.com'' EmailAddress,''first1'' FirstName, ''subscribed'' Status
')
WITH(ListId='a4d24015f8')
--//column name alias must match with InputColumns of ListMembers
Bulk Add / Update Subscibers (list members) from CSV File - Subscribe / Unsubscribe [Read more...]
UPSERT INTO ListMembers
SOURCE('ODBC', 'Driver={ZappySys CSV Driver};DataPath=c:\subscribers.csv'
,'select col1 as EmailAddress,col2 as FirstName, col3 as Status from $') --//column name alias must match with InputColumns of ListMembers
WITH(ListId='a4d24015f8')
Bulk Add / Update Subscibers (list members) from any ODBC Source - Subscribe / Unsubscribe [Read more...]
UPSERT INTO ListMembers
SOURCE('ODBC', 'DSN=MyOdbcDsn
,'select col1 as EmailAddress,col2 as FirstName, col3 as Status from sometable') --//column name alias must match with InputColumns of ListMembers
WITH(ListId='a4d24015f8')
Bulk Add Subscibers (members) to the List from Source like MSSQL, ODBC [Read more...]
INSERT INTO ListMembersBulk
SOURCE('ODBC', 'DSN=MyOdbcDsn
,'select col1 as EmailAddress,col2 as FirstName, col3 as Status') --//column name alias must match with InputColumns of ListMembers
WITH(ListId='a4d24015f8')
Conclusion
In this article we discussed how to connect to Mailchimp in Informatica and integrate data without any coding. Click here to Download Mailchimp Connector for Informatica and try yourself see how easy it is. If you still have any question(s) then ask here or simply click on live chat icon below and ask our expert (see bottom-right corner of this page).
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